Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., RFID), inventory monitoring (SKU / UPC tracking).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 126

Data Architecture Data Warehouse Statistics Visualization 126

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

datapine

MARCH 31, 2022

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

MARCH 24, 2024

Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Proficiency in programming languages such as R and SAS is essential for data gathering, cleaning, and visualization.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

DECEMBER 21, 2022

The IT and cybersecurity sectors are heavily dependent on people with an expertise in data science. The Bureau of Labor Statistics estimates that there are nearly 106,000 employed data scientists in the United States. You have so many opportunities available to you when you get a degree in data science or a related field.

IT 112

IT Big Data Data Science Data-driven 112

Smart Data Collective

JULY 24, 2023

Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings. However, the rise of social media also brings forth challenges that require careful navigation.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 59

Optimization Forecasting Data-driven Strategy 59

Smart Data Collective

JANUARY 27, 2022

More researchers are using predictive analytics and AI to anticipate the outcomes of various food engineering processes, so big data will be even more important to this field in the future. Many programmers specialize in data science these days, which is playing a role in the growth of programming jobs.

Big Data 128

Big Data Advertising Internet of Things Marketing 128

Rocket-Powered Data Science

MARCH 10, 2020

Chapter 1 provides a beautiful introduction to graphs, graph analytics algorithms, network science, and graph analytics use cases. Incorporating context into the graph (as nodes and as edges) can thus yield impressive predictive analytics and prescriptive analytics capabilities.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. The more data they ingest, the better they get.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

datapine

AUGUST 29, 2022

Best for : the new intern who has no idea what data science even means. An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g.,

Machine Learning 81

Machine Learning Modeling Deep Learning Predictive Modeling 81

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions. The Role Of Predictive Analytics In Restaurants. Here are the primary roles of predictive analytics in restaurants: 1. Forecasting trends.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Cloudera

NOVEMBER 30, 2017

They have empowered countless companies to move beyond legacy reporting practices to lean, agile analytics practices. David Stodder is Senior Director at TDWI focusing his research on best practices for organizations implementing BI, analytics, data discovery, data visualization, performance management, and related technologies.

Strategy 40

Strategy Big Data Data mining Visualization 40

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Applied Analytics. Data science skills.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

DataRobot Blog

NOVEMBER 8, 2022

Organizations like Mindshare, a global media agency network, drive client value by using data to understand consumers and how media influences them on a deeper level than any organization on the planet. Machine Learning and AI Fuel Media Governance, Performance Success, and Analytics.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

DataRobot

DECEMBER 8, 2021

Companies are always looking for better strategies for reaching customers—to deliver better services, products, and value. But many struggle to turn the data they collect into true, actionable insights that can increase ROI. Yet most enterprises struggle to capture the full value from data science initiatives on a regular basis.”.

Customer Analytics 97

Customer Analytics Analytics Data-driven Advertising 97

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52